Introduction
The sudden 30% increase in project delays for Kearney's supply chain optimization engagements this month is a critical issue that demands immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Identifying seasonal patterns helps distinguish between cyclical issues and new problems. Expected answer: No, this is unprecedented for this time of year. Impact on approach: If seasonal, we'd focus on capacity planning; if not, we'll investigate recent changes.
Why it matters: This helps determine if the issue is systemic or limited to certain segments. Expected answer: The delays are more pronounced in manufacturing sector engagements. Impact on approach: If concentrated, we'd focus on sector-specific factors; if widespread, we'd look at internal processes.
Why it matters: Recent changes could be contributing to the delays if not properly integrated or understood. Expected answer: Yes, we implemented a new AI-driven optimization algorithm last quarter. Impact on approach: If yes, we'd investigate the implementation and training process; if no, we'd look at other factors.
Why it matters: Changes in team composition can affect productivity and project timelines. Expected answer: We've had a 15% increase in new hires over the last two months. Impact on approach: If significant changes, we'd focus on onboarding and knowledge transfer; if stable, we'd look elsewhere.
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